Lots-of-LoRAs/task1283_hrngo_quality_classification
收藏Hugging Face2024-07-16 更新2024-07-06 收录
下载链接：
https://hf-mirror.com/datasets/Lots-of-LoRAs/task1283_hrngo_quality_classification
下载链接
链接失效反馈官方服务：
资源简介：
该数据集名为Natural Instructions，主要任务为文本生成，具体任务为task1283_hrngo_quality_classification。数据集包含3180个训练样本、397个验证样本和398个测试样本。每个样本包含输入、输出和ID三个特征。数据集的语言为英语，创建者和注释者均为众包。数据集的相关论文包括Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks和Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead。
The dataset is named Natural Instructions and its main task is text generation, specifically task1283_hrngo_quality_classification. The dataset contains 3180 training samples, 397 validation samples, and 398 test samples. Each sample includes three features: input, output, and ID. The language of the dataset is English, and both the creators and annotators are crowdsourced. Relevant papers for the dataset include Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks and Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead.
提供机构：
Lots-of-LoRAs
原始信息汇总
数据集概述
基本信息
- 数据集名称: task1283_hrngo_quality_classification
- 语言: 英语（en）
- 许可证: Apache 2.0
- 任务类别: 文本生成
数据集详情
- 配置名称: plain_text
- 特征:
- 输入: 字符串类型
- 输出: 字符串类型
- ID: 字符串类型
- 数据分割:
- 训练集: 3180个样本
- 验证集: 397个样本
- 测试集: 398个样本
